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SirChatalot

A Telegram bot that proves you don't need a body to have a personality. It can use various text and image generation APIs to generate responses to user messages.

For text generation, the bot can use:

Bot can also generate images with:

This bot can also be used to generate responses to voice and video messages. Bot will convert voice/video message to text and then it will generate a response. Optionally it can only generate audio/video transcript, without answering. Speech recognition is done using the OpenAI's Whisper model. To use this feature, you need to install the ffmpeg library.

If function calling is enabled, bot can generate images and search the web by itself.

Navigation

Getting Started

  • Create a bot using the BotFather and get the token.
  • Clone the repository.
  • Install the required packages by running the command pip install -r requirements.txt.
  • Install the ffmpeg library for voice/video message support (for converting to supported format) and test it calling ffmpeg --version in the terminal.
  • Create a .config file in the data directory using the example files (config.example.*) there as a template. Don't forget to set access codes if you want to restrict access to the bot (you will be added to whitelist when you use one of them (learn more)).
  • You can run the bot by running the command python3 main.py or by using Docker with docker compose up -d (learn more here).

Bot is designed to talk to you in a style of a knight in the middle ages by default. You can change that in the ./data/.config file (SystemMessage). There are also some additional styles that you can choose from: Alice, Bob, Charlie and Diana. You can change style from chat by sending a message with /style command, but your current session will be dropped.

Styles can be set up in the ./data/chat_modes.ini file. You can add your own styles there or change the existing ones. whitelist.txt, banlist.txt, .config, chat_modes.ini, are stored in the ./data directory. Logs rotate every day and are stored in the ./logs directory.

Configuration

The bot requires a configuration file to run. The configuration file should be in INI file format. Example configuration file is in the ./data directory.
File should contain (for OpenAI API):

[Telegram]
Token = 0000000000:xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
AccessCodes = whitelistcode,secondwhitelistcode
RateLimitTime = 3600
GeneralRateLimit = 100
TextEngine = OpenAI
SpeechEngine = OpenAI
ReplyToMessage = False

[Logging]
LogLevel = WARNING
LogChats = False

[OpenAI]
SecretKey = xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
ChatModel = gpt-3.5-turbo
ChatModelPromptPrice = 0.0015
ChatModelCompletionPrice = 0.002
Temperature = 0.7
MaxTokens = 3997
MinLengthTokens = 100
SystemMessage = You are a helpful assistant named Sir Chat-a-lot, who answers in a style of a knight in the middle ages.
MaxSessionLength = 15
ChatDeletion = False
EndUserID = True
Moderation = False
Vision = False
ImageSize = 512
FunctionCalling = False
DeleteImageAfterAnswer = False
ImageDescriptionOnDelete = False
SummarizeTooLong = False

[AudioTranscript]
Engine = whisper
AudioModel = whisper-1
AudioModelPrice = 0.006
AudioFormat = mp3
TranscribeOnly = True

[Files]
Enabled = True
MaxFileSizeMB = 10
MaxSummaryTokens = 1000
MaxFileLength = 10000
DeleteAfterProcessing = True

Telegram:

  • Telegram.Token: The token for the Telegram bot.
  • Telegram.AccessCodes: A comma-separated list of access codes that can be used to add users to the whitelist. If no access codes are provided, anyone who not in the banlist will be able to use the bot.
  • Telegram.RateLimitTime: The time in seconds to calculate user rate-limit. Optional.
  • Telegram.GeneralRateLimit: The maximum number of messages that can be sent by a user in the Telegram.RateLimitTime period. Applied to all users. Optional.
  • Telegram.TextEngine: The text engine to use. Optional, default is OpenAI. Other options are YandexGPT and Claude.
  • Telegram.SpeechEngine: The speech engine to use. Optional, default is OpenAI.
  • Telegram.ReplyToMessage: If set to True, bot will directly reply to the user's message. Optional, default is False.

Logging:

  • Logging.LogLevel: The logging level. Optional, default is WARNING.
  • Logging.LogChats: If set to True, bot will log all chats. Optional, default is False.

OpenAI:

  • OpenAI.SecretKey: The secret key for the OpenAI API.
  • OpenAI.ChatModel: The model to use for generating responses (learn more about OpenAI models here).
  • OpenAI.ChatModelPrice: The price of the model to use for generating responses (per 1000 tokens, in USD).
  • OpenAI.Temperature: The temperature to use for generating responses.
  • OpenAI.MaxTokens: The maximum number of tokens to use for generating responses.
  • OpenAI.MinLengthTokens: The minimum number of tokens to use for generating responses. Optional, default 100.
  • OpenAI.SystemMessage: The message that will shape your bot's personality.
  • OpenAI.MaxSessionLength: The maximum number of user messages in a session (can be used to reduce tokens used). Optional.
  • OpenAI.ChatDeletion: Whether to delete the user's history if conversation is too long. Optional.
  • OpenAI.EndUserID: Whether to add the user's ID to the API request. Optional.
  • OpenAI.Moderation: Whether to use the OpenAI's moderation engine. Optional.
  • OpenAI.Vision: Whether to use vision capabilities of GPT-4 models. Default: False. See Vision.
  • OpenAI.ImageSize: Maximum size of images. If image is bigger than that it will be resized. Default: 512
  • OpenAI.DeleteImageAfterAnswer: Whether to delete image after it was seen by model. Enable it to keep cost of API usage low. Default: False.
  • OpenAI.ImageDescriptionOnDelete: Whether to replace image with it description after it was deleted (see OpenAI.DeleteImageAfterAnswer). Default: False.
  • OpenAI.FunctionCalling: Whether to use function calling capabilities (see section Function calling). Default: False.
  • OpenAI.SummarizeTooLong: Whether to summarize first set of messages if session is too long instead of deleting it. Default: False.

Files:

  • Files.Enabled: Whether to enable files support. Optional. Default: True.
  • Files.MaxFileSizeMB: The maximum file size in megabytes. Optional. Default: 20.
  • Files.MaxSummaryTokens: The maximum number of tokens to use for generating summaries. Optional. Default: OpenAI.MaxTokens/2.
  • Files.MaxFileLength: The maximum number of tokens to use for generating summaries. Optional. Default: 10000.
  • Files.DeleteAfterProcessing: Whether to delete files after processing. Optional. Deafult: True.

Configuration should be stored in the ./data/.config file. Use the config.example file in the ./data directory as a template.
Claude and YandexGPT configurations are different, see Using Claude and Using YandexGPT sections for more details.

Using Claude

Claude is a family of large language models developed by Anthropic. You should get access to it first.
You need to install Anthropic's Python SDK beforehand by running:

pip install anthropic

To use Claude, you need to change the Telegram.TextEngine field to Claude or Anthropic in the ./data/.config file and replace the OpenAI section with Anthropic section:

[Telegram]
Token = 111111111:xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
AccessCodes = 123456789
TextEngine = Claude

[Anthropic]
SecretKey = sk-ant-******
ChatModel = claude-3-haiku-20240307
ChatModelPromptPrice = 0.00025
ChatModelCompletionPrice = 0.00125
Temperature = 0.7
MaxTokens = 1500
SystemMessage = You are a librarian named Bob whom one may met in tavern. You a chatting with user via Telegram messenger.
Vision = True
ImageSize = 768
DeleteImageAfterAnswer = False
ImageDescriptionOnDelete = False
SummarizeTooLong = True
FunctionCalling = False
  • Anthropic.SecretKey: The secret key for the Anthropic API.
  • Anthropic.ChatModel: The model to use for generating responses (claude-3-haiku-20240307 by default).
  • Anthropic.ChatModelPromptPrice: The price of the model to use for generating responses (per 1000 tokens, in USD).
  • Anthropic.ChatModelCompletionPrice: The price of the model to use for generating responses (per 1000 tokens, in USD).
  • Anthropic.Temperature: The temperature to use for generating responses.
  • Anthropic.MaxTokens: The maximum number of tokens to use for generating responses.
  • Anthropic.SystemMessage: The message that will shape your bot's personality.
  • Anthropic.Vision: Whether to use vision capabilities of Claude 3 models. Default: False.
  • Anthropic.ImageSize: Maximum size of images. If image is bigger than that it will be resized. Default: 512
  • Anthropic.DeleteImageAfterAnswer: Whether to delete image after it was seen by model. Enable it to keep cost of API usage low. Default: False.
  • Anthropic.ImageDescriptionOnDelete: Whether to replace image with it description after it was deleted (see OpenAI.DeleteImageAfterAnswer). Default: False.
  • Anthropic.SummarizeTooLong: Whether to summarize first set of messages if session is too long instead of deleting it. Default: False.
  • Anthropic.FunctionCalling: Whether to use function calling capabilities (see section Function calling). Default: False.

You can find Claude models here.

You can also set up HTTP proxy for API requests in the ./data/.config file (tested) like this:

[Anthropic]
...
Proxy = http://login:password@proxy:port
...

Example of configuration for using Claude API is in the ./data/config.claude.example file.

Using YandexGPT

YandexGPT is in Preview, you should request access to it.
You should have a service Yandex Cloud account to use YandexGPT (https://yandex.cloud/en/docs/yandexgpt/quickstart). Service account should have access to the YandexGPT API and role ai.languageModels.user or higher.
To use YandexGPT, you need to set the Telegram.TextEngine field to YandexGPT in the ./data/.config file:

[Telegram]
Token = 111111111:xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
AccessCodes = 123456789
TextEngine = YandexGPT

[YandexGPT]
SecretKey=******
CatalogID=******
ChatModel=gpt://<CatalogID>/yandexgpt/latest
Temperature=700
MaxTokens=1500
SystemMessage=You are a helpful assistant named Sir Chatalot.
SummarizeTooLong = True
RequestLogging = False
  • YandexGPT.SecretKey: The secret key for the Yandex Cloud.
  • YandexGPT.CatalogID: The catalog ID for the Yandex Cloud.
  • YandexGPT.Endpoint: The endpoint for the Yandex GPT API. Optional, default is https://llm.api.cloud.yandex.net/foundationModels/v1/completion.
  • YandexGPT.ChatModel: The model to use for generating responses (learn more here). You can use gpt://<CatalogID>/yandexgpt-lite/latest or just yandexgpt-lite/latest (default) for the latest model in the default catalog.
  • YandexGPT.ChatModelCompletionPrice: The price of the model to use for generating responses (per 1000 tokens, in USD).
  • YandexGPT.ChatModelPromptPrice: The price of the model to use for generating responses (per 1000 tokens, in USD).
  • YandexGPT.SummarisationModel: The model to use for summarisation. Optional, default is summarization/latest.
  • YandexGPT.Temperature: The temperature to use for generating responses.
  • YandexGPT.MaxTokens: The maximum number of tokens to use for generating responses.
  • YandexGPT.SystemMessage: The message that will shape your bot's personality.
  • YandexGPT.SummarizeTooLong: Whether to summarize first set of messages if session is too long instead of deleting it. Default: False.
  • YandexGPT.RequestLogging: Whether to disable logging of API requests by the Yandex Cloud (learn more here). Default: False.

Voice

Bot can understand voice messages. To use this functionality you should make some changes in configuration file. Example:

...
[AudioTranscript]
Engine = whisper
APIKey = ******
AudioModel = whisper-1
AudioModelPrice = 0.006
AudioFormat = mp3
TranscribeOnly = False
...
  • AudioTranscript.Engine: The engine to use (currently only whisper is allowed).
  • AudioTranscript.SecretKey: The secret key for the audio model (OpenAI whisper only). If unset, takes value from OpenAI.SecretKey.
  • AudioTranscript.AudioModel: The model to use for speech recognition (Speech-to-text can be powered by whisper-1 for now).
  • AudioTranscript.AudioModelPrice: The price of the model to use for speech recognition (per minute, in USD).
  • AudioTranscript.AudioFormat: The audio format to convert voice messages (ogg) to (can be wav, mp3 or other supported by Whisper). Stated whithout a dot.
  • AudioTranscript.TranscribeOnly: If set to True, will only respond with Video/Audio transcript. If False (default), it will answer the message.

Alternatively you can set up Whisper in OpenAI section of the ./data/.config file (deprecated, support can be removed in the future).
If config has section AudioTranscript it will be used instead and this method will be ignored.

...
WhisperModel = whisper-1
WhisperModelPrice = 0.006
AudioFormat = wav
...

Note

Audio conversion is done with ffmpeg. You should have it installed.

Vision

Bot can understand images with OpenAI GPT-4 or Claude 3 models.
To use this functionality you should make some changes in configuration file (change OpenAI to Anthropic if you use Claude).
Example:

...
[OpenAI]
ChatModel = gpt-4-vision-preview
ChatModelPromptPrice = 0.01
ChatModelCompletionPrice = 0.03
...
Vision = True
ImageSize = 512
DeleteImageAfterAnswer = False
ImageDescriptionOnDelete = False
...

Check if you have an access to GPT-4V or Claude 3 models with vision capabilities.
OpenAI models can be found here and prices can be found here.
Claude 3 models and prices can be found here.

Beware that right now functionalty for calculating cost of usage is not working for images, so you should pay attenion to that.

Function calling

You can use function calling capabilities with some OpenAI or Claude models.
This way model will decide what function to call by itself. For example, you can ask the bot to generate an image and it will do it.
Right now image generation and some web tools are supported.
To use this functionality you should make some changes in configuration file. Example (OpenAI, for Claude change OpenAI to Anthropic):

...
[OpenAI]
FunctionCalling = True
...

Don't forget to enable Image generation (see Image generation).
This feature is experimental, please submit an issue if you find a problem.

Image generation

You can generate images. Right now only DALL-E and Stability AI are supported.

To generate an image, send the bot a message with the /imagine <text> command. The bot will then generate an image based on the text prompt. Images are not stored on the server and processed as base64 strings.
Also if FunctionCalling is set to True in the ./data/.config file (see Function calling), you can generate images with function calling just by asking the bot to do it.

RateLimitCount, RateLimitTime and ImageGenerationPrice parameters are not required, default values for them are zero. So if not set rate limit will not be applied and price will be zero.

OpenAI DALL-E

To use this functionality with Dall-E you should make some changes in configuration file. Example:

...
[ImageGeneration]
Engine = dalle
APIKey = ******
Model = dall-e-3
RateLimitCount = 16
RateLimitTime = 3600
ImageGenerationPrice = 0.04
...

If you want to use OpenAI text engine and image generation you can omit APIKey field in the ImageGeneration section. Key will be taken from the OpenAI section.
For OpenAI you can also set BaseURL field in the ImageGeneration section. If it was set in OpenAI section, it will be used instead, to override it you cat set ImageGeneration.BaseURL to None.
Parameters set in ImageGeneration have priority over OpenAI section for image generation.

Alternatively you can set up DALL-E in OpenAI section of the ./data/.config file (deprecated, support can be removed in the future).
If config has section ImageGeneration it will be used instead and this method will be ignored.

...
ImageGeneration = False
ImageGenModel = dall-e-3
ImageGenerationSize = 1024x1024
ImageGenerationStyle = vivid
ImageGenerationPrice = 0.04
...

Stability AI

To use this functionality with Stability AI you should make some changes in configuration file. Example:

[ImageGeneration]
Engine = stability
ImageGenURL = https://api.stability.ai/v2beta/stable-image/generate/core
APIKey = ******
ImageGenerationRatio = 1:1
RateLimitCount = 16
RateLimitTime = 3600
ImageGenerationPrice = 0.04

You can also set NegativePrompt (str) and Seed (int) parameters in the ImageGeneration section if you want to use them.
ImageGenURL and ImageGenerationRatio are not required, default values (in example) are used if they are not set.

Yandex ART

To use this functionality with Yandex ART you should add a section in the configuration file. Example:

[ImageGeneration]
Engine = yandex
APIKey = ******
ImageGenModel = yandex-art/latest
CatalogID = ******
RateLimitCount = 5
RateLimitTime = 3600

ImageGenModel can also have a value art://<CatalogID>/yandex-art/latest.
You can also set ImageGenerationPrice (float) parameter in the ImageGeneration section if you want to use it. Also you can fix seed for image generation by setting Seed (int) parameter.
Service Yandex Foundation Models is on Preview, stage so it can be unstable.
YandexART API demands IAM token for requests. Service account should have access to the Yandex ART API and role ai.imageGeneration.user or higher.
Learn more about Yandex ART here (ru).

Warning

There can be some changes in the way Yandex ART API works, so it can be unstable.

Web Search

You can use web search capabilities with function calling.
Right now only Google search is supported (via Google Search API).
To enable web search you should make some changes in configuration file. Example:

...

[Web]
SearchEngine = google
APIKey = ******
CSEID = ******
URLSummary = False
TrimLength = 3000
...

Keep in mind that you should also set FunctionCalling to True in the ./data/.config file (see Function calling).
If SearchEngine is not set, web search functionality will not be enabled.
SirChatalot will only have information about the first 5 results (title, link and description).
It can try to open only links provided (or from history), but will not walk through the pages when using web search.
URLSummary parameter is used to tell the bot to summarize the content of the page.
TrimLength is used to limit the length of the parsed text (context can be lost).

Using OpenAI compatible APIs

You can use APIs compatible with OpenAI's API. To do that, you need to set endpoint in the OpenAI section of the ./data/.config file.
This example for running Meta's Llama 3.1 405b via OpenRouter API:

[OpenAI]
...
APIBase = https://openrouter.ai/api/v1
SecretKey = sk-or-v1-***
ChatModel = meta-llama/llama-3.1-405b-instruct
ChatModelPromptPrice = 0.003
ChatModelCompletionPrice = 0.003
Temperature = 0.7
Moderation = False
...

Also it is possible to set APIType and APIVersion.
All this values are optional.

Note

Tested with LocalAI and OpenRouter, also should be possible to use with Ollama and LM Studio.

Styles

Bot supports different styles that can be triggered with /style command.
You can add your own style in the ./data/chat_modes.ini file or change the existing ones. Styles are stored in the INI file format.
Example:

[Alice]
Description = Empathetic and friendly
SystemMessage = You are a empathetic and friendly woman named Alice, who answers helpful, funny and a bit flirty.

[Bob]
Description = Brief and informative
SystemMessage = You are a helpful assistant named Bob, who is informative and explains everything succinctly with fewer words.

Here is a list of the fields in this example:

  • Alice or Bob: The name of the style.
  • Description: Short description of the style. Is used in message that is shown when /style command is called.
  • SystemMessage: The message that will shape your bot's personality. You will need some prompt engineering to make it work properly.

Files

Bot supports working with files (limited). You can send a file to the bot and it will send back a response based on the file's extracted text.
To use this functionality you should make some changes in configuration file. Example:

...
[Files]
Enabled = True
MaxFileSizeMB = 10
MaxSummaryTokens = 1000
MaxFileLength = 10000
DeleteAfterProcessing = True
...

Currently supported file types: .docx, .doc, .pptx, .ppt, .pdf, .txt.
If you use Linux - install catdoc for .doc and .ppt files support and test it calling catdoc in the terminal. .doc and .ppt files support won't work without it.
If you use Windows - install comtypes for .doc and .ppt files support with pip install comtypes.

Files temporarily stored in the ./data/files directory. After successful processing, they are deleted if other behavior is not specified in the ./data/.config file.
Maximum file size to work with is 20 MB (python-telegram-bot limitation), you can set your own limit in the ./data/.config file (in MB), but it will be limited by the python-telegram-bot limit.
If file is too large, the bot will attempt to summarize it to the length of MaxTokens/2. You can set your own limit in the ./data/.config file (in tokens - one token is ~4 characters).
You can also limit max file lenght (in characters) by setting the Files.MaxFileLength field in the ./data/.config file (in tokens). It can be set because sumarization is made with API requests and it can be expensive.
Summarisation will happen by chunks of size Files.MaxSummaryTokens until the whole file is processed. Summary for chunks will be combined into one summary (maximum 3 itterations, then text is just cut).

By default this functionality is disabled.

Warning

Files support will be changed in the future. Current implementation will be removed.

Running the Bot

To run the bot, simply run the command python3 main.py. The bot will start and will wait for messages. The bot has the following commands:

  • /start: starts the conversation with the bot.
  • /help: shows the help message.
  • /delete: deletes the conversation history.
  • /statistics: shows the bot usage.
  • /style: changes the style of the bot from chat.
  • /limit: shows the current rate-limit for the user.
  • /imagine <text>: generates an image based on the text. You can use it only if OpenAI.ImageGeneration is set to True (see Image generation).
  • Any other message (including voice message) will generate a response from the bot.

Users need to be whitelisted to use the bot. To whitelist yourself, send an access code to the bot using the /start command. The bot will then add you to the whitelist and will send a message to you confirming that you have been added to the whitelist. Access code should be changed in the ./data/.config file (see Configuration). Codes are shown in terminal when the bot is started.

Whitelisting users

To restrict access to the bot, you should provide an access code (or multiple codes) in the ./data/.config file.
If no access codes are provided, anyone who not in the banlist will be able to use the bot.

Bot is doing authorization by Telegram ID that is stored in the ./data/whitelist.txt file.
To add yourself to the whitelist, send the bot a message with one of the access codes (see Configuration). You will be added to the whitelist authomatically.
Alternatively, you can add users to the whitelist manually. To do that, add the user's Telegram ID to the ./data/whitelist.txt file (each ID should be on a separate line). Example:

132456
789123

Banning Users

To ban a user you should add their Telegram ID to the ./data/banlist.txt file. Each ID should be on a separate line. Example:

123456
789123

Banlist has a higher priority than the whitelist.
If a user is on the banlist, they will not be able to use the bot and the will see a message saying that they have been banned.

Safety practices

To prevent the bot from being used for purposes that violate the OpenAI's usage policy, you can use:

  • Moderation: Moderation will filter out messages that can violate the OpenAI's usage policy with free OpenAI's Moderation API. In this case, message is sent to the Moderation API and if it is flagged, it is not sent to the OpenAI's API. If you want to use it, set OpenAI.Moderation to true in the ./data/.config file (see Configuration). User will be notified if their message is flagged.
  • End-user IDs: End-user IDs will be added to the API request if OpenAI.EndUserID is set to true in the ./data/.config file (see Configuration). Sending end-user IDs in your requests can be a useful tool to help OpenAI monitor and detect abuse. This allows OpenAI to provide your team with more actionable feedback in the event of bot abuse. End-user ID is a hashed Telegram ID of the user.
  • Rate limiting: Rate limiting will limit the number of messages a user can send to the bot. If you want to use it, set Telegram.GeneralRateLimit to a number of messages a user can send to the bot in a time period in the ./data/.config file (see Configuration).
  • Banlist: Banlist will prevent users from using the bot. If you want to use it, add user's Telegram ID to the ./data/banlist.txt file (see Banning Users).
  • Whitelist: Whitelist will allow only whitelisted users to use the bot. If you want to use it, add user's Telegram ID to the ./data/whitelist.txt file (see Whitelisting Users).

Rate limiting users

To limit the number of messages a user can send to the bot, add their Telegram ID and limit to the ./data/rates.txt file. Each ID should be on a separate line. Example:

123456789,10
987654321,500
111111,0

Rate limit is a number of messages a user can send to the bot in a time period. In example user with ID 123456789 has 10 and user 987654321 has 500 messages limit. User 111111 has no limit (overriding GeneralRateLimit).
Time period (in seconds) can be set in the ./data/.config file in RateLimitTime variable in Telegram section (see Configuration). If no time period is provided, limit is not applied.
General rate limit can be set in the ./data/.config file in GeneralRateLimit variable in Telegram section (see Configuration). To override general rate limit for a user, set their limit in the rates.txt file.
Users can check your limit by sending the bot a message with the /limit command.

Using Docker

You can use Docker to run the bot.

First, you need to install Docker.
You can do it with installation script.

curl -fsSL https://get.docker.com -o get-docker.sh
sh get-docker.sh

Set it up to start on boot and add your user to the docker group so you can run Docker commands without sudo:

sudo systemctl enable docker
sudo usermod -aG docker $USER

Then, you need to build the bot image.
Run the following command in the root directory of the project after configuring the bot (see Configuration):

docker compose up -d

This will build the image and run the container.

To rebuild the image add --build flag to the command:

docker compose up -d --build

To stop the container, run the following command:

docker compose down

If you are using custom docker-compose file, you can specify it with -f flag:

docker compose -f docker-compose.yml up -d --build

To stop the container:

docker compose -f docker-compose.yml down

Read messages

You can read user messages for moderation purposes with read_messages.py.
Call it from projects chatutils directory with:

python3 read_messages.py

Warnings

  • Use this bot at your own risk. I am not responsible for any damage caused by this bot.
  • The bot stores the whitelist in plain text.
  • The bot stores chat history in as a pickle file.
  • Configurations are stored in plain text.
  • The bot can store messages in a log file in a event of an error or if logger level set to DEBUG.
  • The bot will store messages if Logging.LogChats set to True in the ./data/.config file.
  • The bot temporarily stores voice/video messages in ./data/voice directory.
  • The bot is not designed to be used in production environments. It is not secure and was build as a proof of concept.
  • The bot can work with files. If file was not processed or Files.DeleteAfterProcessing is set to False in the ./data/.config file (see Configuration), the file will be stored in ./data/files directory.
  • If message is flagged by the OpenAI Moderation API, it will not be sent to the OpenAI's API, but it will be stored in ./data/moderation.txt file for manual review.
  • Functionalty for calculating cost of usage can be inaccurate for images with Dall-E.

License

This project is licensed under GPLv3. See the LICENSE file for more details.

Acknowledgements